Jump to content
Sign in to follow this  
aref

mineral mapping using aster

Recommended Posts

i want to produce a general(not exact) mineral map using envi only. It means that, i do not want to use field works e.g sampling or spectroradiometer or any other ground methods.

 

 
Simply, Can anyone tell me what steps for this aim in envi?

 

 
 
 
 
 
 
 
 
 
 
 
Edited by aref

Share this post


Link to post
Share on other sites

Geological applications of remote sensing include the following:

 

  • Surficial deposit / bedrock mapping
  • Lithological mapping
  • Structural mapping
  • Sand and gravel (aggregate) exploration / exploitation
  • Mineral Exploration
  • Hydrocarbon exploration
  • Environmental geology 
  • Baseline infrastructure
  • Sedimentation mapping and monitoring
  • Event mapping and monitoring
  • Geo-hazard mapping and planetary mapping

If you want to know how to use Remote Sensing for Mineral Exploration by ENVI 5.x, i will share with you how to do it.

 

B.R

  • Like 1

Share this post


Link to post
Share on other sites

 

Can anyone tell me what steps for this aim in envi?

 

he already said that mustofa, please share how to do it? :D

Share this post


Link to post
Share on other sites

he already said that mustofa, please share how to do it? :D

:D :D i just ask him only for Mineral Exploration

 

i will start a new topic about how to do it. include|Exercise with data| 

Edited by mostafa
  • Like 3

Share this post


Link to post
Share on other sites

Using Hyperspectral AVIRIS data for mapping alteration zone mineral associated with the Cuprite mineralization in Nevada, USA.

 

Associated Data

  • The Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) of Nevada, USA:

           cup95_at.dat

 

Software

  • ENVI 5.x

 

#1: Mapping Mineralized Zones

 

using SMACC model to Extract Endmembers (spectral signature) of alteration zone minerals of the Cuprite mineralization in Nevada, USA. you will use spectra extracted from the data, as well as laboratory spectra (from spectral library), as input into the Spectral Angle Mapper (SAM) algorithm to classify the Nevada Cuprite image.

 

  • From the ENVI main menu bar, click on the Open folder icon. Navigate to Data folder, and select cup95_at.dat. Click Open A grayscale image is displayed because this data set does not contain visible or near infrared wavelength. It only contains SWIR wavelength Bands (172 to 221)>
  • In the ENVI Toolbox, expand the Spectral folder then double click on SMAAC Endmember Extraction.
  • From the Select Input File dialog,  select cup95_at.dat and click OK.
  • In the SMAAC Endmember Extraction Parameters dialog change the default value for Number of Endmembers to 10.
  • Click the Sum to Unity or Less radio button.
  • Select Coalesce Redundant Endmembers, and accept the default SAM Coalesce Value.
  • Under Endmember Location ROIs, enter an output filename of cup95_endmembers.
  • Under Abundance Image, enter an output filename of cup95_abundance.
  • Under Select Output Spectral Library, enter an output filename of cup95_endmembers.sli.
  • Click OK run SMACC.

image.png

  • Two plot windows appear one over the other. One of the plots shows the SMACC spectral library containing the signatures from all the pixels it flagged as endmembers.
  • The SMACC Relative Error plot window shows that the relative error strated to converge at two extracted endmembers. Although you specified a value of 10, the remaining endmembers were coalesced into similar spectra to from the resulting six endmembers.

image.png

  • Close the SMACC Relative Error plot window, but keep the Endmembers plot window open.
  • The SMACC algorithm outputs abundance images for each endmember including Shadow (depending on which constraint you select). The first abundance image is displayed. If this image is offset, click on the Zoom To Full Extend icon.
  • Right click on the View layer in the Layer Manager and select Remove All Layer.
  • Examine each abundance image by loading them into separate views. (Select Views 3x3 views from the ENVI menu.)
  • Because there are six actual abundance images, right click one of the views in the layer Manager and select Remove View. Repeat this two more times to get the number of views down to six.
  • Open up the Data Manger. Select the first view by clicking in it, then right click on Endmember 1 Abundance and choose Load Grayscale.

image.png

 

image.png

  • Select the second view, then in the Data Manger right click on Endmemeber 2 Abundance and choose Load Grayscale. Repeat this process for the other four abundance bands.
  • When you are finished, close the Cursor Value dialog. Then click on (the Views one view).

image.png

  • To load a color composite in the display, expand cup95_at.dat in the Data Manager if necessary, then click on Band 185 to load as red, Band 193 as green, Band 197 as blue.

image.png

 

image.png

  • Remove the remaining abundance image, and click on the Zoom To Full Extend icon.
  • Close the Data Manager but still leave the Endmembers plot window open.

 

DOWNLOAD DATA

http://rghost.net/6GrWNPLwD

B.R

 

 

Next #2: Open a Spectral Library and Compare with Image Spectra

Edited by mostafa
  • Like 4

Share this post


Link to post
Share on other sites



Thank you my dear ones...

my main problem is, How to compare tow spectral profiles?

because my data is aster with low spectral resolution than hyper-sensors. therefore i cannot determine their relationship visually.

please can who tell me practical example of comparing an aster z-profile to a librarian z-profile.



Share this post


Link to post
Share on other sites

Using Hyperspectral AVIRIS data for mapping alteration zone mineral associated with the Cuprite mineralization in Nevada, USA.

 

Associated Data

  • The Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) of Nevada, USA:

           cup95_at.dat

 

Software

  • ENVI 5.x

 

#1: Mapping Mineralized Zones

 

using SMACC model to Extract Endmembers (spectral signature) of alteration zone minerals of the Cuprite mineralization in Nevada, USA. you will use spectra extracted from the data, as well as laboratory spectra (from spectral library), as input into the Spectral Angle Mapper (SAM) algorithm to classify the Nevada Cuprite image.

 

  • From the ENVI main menu bar, click on the Open folder icon. Navigate to Data folder, and select cup95_at.dat. Click Open A grayscale image is displayed because this data set does not contain visible or near infrared wavelength. It only contains SWIR wavelength Bands (172 to 221)>
  • In the ENVI Toolbox, expand the Spectral folder then double click on SMAAC Endmember Extraction.
  • From the Select Input File dialog,  select cup95_at.dat and click OK.
  • In the SMAAC Endmember Extraction Parameters dialog change the default value for Number of Endmembers to 10.
  • Click the Sum to Unity or Less radio button.
  • Select Coalesce Redundant Endmembers, and accept the default SAM Coalesce Value.
  • Under Endmember Location ROIs, enter an output filename of cup95_endmembers.
  • Under Abundance Image, enter an output filename of cup95_abundance.
  • Under Select Output Spectral Library, enter an output filename of cup95_endmembers.sli.
  • Click OK run SMACC.

image.png

  • Two plot windows appear one over the other. One of the plots shows the SMACC spectral library containing the signatures from all the pixels it flagged as endmembers.
  • The SMACC Relative Error plot window shows that the relative error strated to converge at two extracted endmembers. Although you specified a value of 10, the remaining endmembers were coalesced into similar spectra to from the resulting six endmembers.

image.png

  • Close the SMACC Relative Error plot window, but keep the Endmembers plot window open.
  • The SMACC algorithm outputs abundance images for each endmember including Shadow (depending on which constraint you select). The first abundance image is displayed. If this image is offset, click on the Zoom To Full Extend icon.
  • Right click on the View layer in the Layer Manager and select Remove All Layer.
  • Examine each abundance image by loading them into separate views. (Select Views 3x3 views from the ENVI menu.)
  • Because there are six actual abundance images, right click one of the views in the layer Manager and select Remove View. Repeat this two more times to get the number of views down to six.
  • Open up the Data Manger. Select the first view by clicking in it, then right click on Endmember 1 Abundance and choose Load Grayscale.

image.png

 

image.png

  • Select the second view, then in the Data Manger right click on Endmemeber 2 Abundance and choose Load Grayscale. Repeat this process for the other four abundance bands.
  • When you are finished, close the Cursor Value dialog. Then click on (the Views one view).

image.png

  • To load a color composite in the display, expand cup95_at.dat in the Data Manager if necessary, then click on Band 185 to load as red, Band 193 as green, Band 197 as blue.

image.png

 

image.png

  • Remove the remaining abundance image, and click on the Zoom To Full Extend icon.
  • Close the Data Manager but still leave the Endmembers plot window open.

 

DOWNLOAD DATA

http://rghost.net/6GrWNPLwD

B.R

 

 

Next #2: Open a Spectral Library and Compare with Image Spectra

where can we download Hyperspectral AVIRIS data?Are they free?

Share this post


Link to post
Share on other sites

Great Topic

 

When you have ASTER Image lever 3b, you data is in Radiance you need to convert that data in Reflectance, with ENVI with FLASSH module you will use the make atmospheric corrections to change radiance values to reflectance to do spectral analyst, and another important thing is resampling your spectral library that you can use with ASTER. I can no make the exact process, because I don't know all the steps. This is a bit of what I know. :o

Share this post


Link to post
Share on other sites

Join the conversation

You can post now and register later. If you have an account, sign in now to post with your account.

Guest
Reply to this topic...

×   Pasted as rich text.   Paste as plain text instead

  Only 75 emoji are allowed.

×   Your link has been automatically embedded.   Display as a link instead

×   Your previous content has been restored.   Clear editor

×   You cannot paste images directly. Upload or insert images from URL.

Sign in to follow this  

×
×
  • Create New...

Important Information

By using this site, you agree to our Terms of Use.